recapr: Two Event Mark-Recapture Experiment

Tools are provided for estimating, testing, and simulating abundance in a two-event (Petersen) mark-recapture experiment. Functions are given to calculate the Petersen, Chapman, and Bailey estimators and associated variances. However, the principal utility is a set of functions to simulate random draws from these estimators, and use these to conduct hypothesis tests and power calculations. Additionally, a set of functions are provided for generating confidence intervals via bootstrapping. Functions are also provided to test abundance estimator consistency under complete or partial stratification, and to calculate stratified or partially stratified estimators. Functions are also provided to calculate recommended sample sizes. Referenced methods can be found in Arnason et al. (1996) <ISSN:0706-6457>, Bailey (1951) <doi:10.2307/2332575>, Bailey (1952) <doi:10.2307/1913>, Chapman (1951) NAID:20001644490, Cohen (1988) ISBN:0-12-179060-6, Darroch (1961) <doi:10.2307/2332748>, and Robson and Regier (1964) <ISSN:1548-8659>.

Version: 0.4.4
Imports: MASS
Suggests: testthat, knitr, rmarkdown
Published: 2021-09-08
DOI: 10.32614/CRAN.package.recapr
Author: Matt Tyers [aut, cre]
Maintainer: Matt Tyers <matttyersstat at>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: recapr results


Reference manual: recapr.pdf
Vignettes: recapr vignette


Package source: recapr_0.4.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): recapr_0.4.4.tgz, r-oldrel (arm64): recapr_0.4.4.tgz, r-release (x86_64): recapr_0.4.4.tgz, r-oldrel (x86_64): recapr_0.4.4.tgz
Old sources: recapr archive


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